The graph represents a network of 54 Twitter users whose tweets in the requested range contained "#CDCTips", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 23 April 2022 at 14:21 UTC.
The requested start date was Saturday, 23 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 16-hour, 43-minute period from Saturday, 09 April 2022 at 20:18 UTC to Friday, 22 April 2022 at 13:02 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 54
Unique Edges : 30
Edges With Duplicates : 95
Total Edges : 125
Number of Edge Types : 5
Tweet : 16
Retweet : 37
MentionsInRetweet : 49
Mentions : 22
Replies to : 1
Self-Loops : 16
Reciprocated Vertex Pair Ratio : 0.0163934426229508
Reciprocated Edge Ratio : 0.032258064516129
Connected Components : 9
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 39
Maximum Edges in a Connected Component : 108
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.193342
Graph Density : 0.0216631726065688
Modularity : 0.389376
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 54 Twitter users whose tweets in the requested range contained "#CDCTips", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 23 April 2022 at 14:21 UTC.
The requested start date was Saturday, 23 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 16-hour, 43-minute period from Saturday, 09 April 2022 at 20:18 UTC to Friday, 22 April 2022 at 13:02 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #CDCTips
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[11] nathan,never [11] never,smoked [11] smoked,developed [11] permanent,lung [11] lung,damage [11] damage,exposure [11] exposure,secondhand [11] secondhand,smoke [10] quit,smoking [9] cdctobaccofree,nathan Top Word Pairs in Tweet in G1:
[11] nathan,never [11] never,smoked [11] smoked,developed [11] permanent,lung [11] lung,damage [11] damage,exposure [11] exposure,secondhand [11] secondhand,smoke [9] cdctobaccofree,nathan [7] stop,smoking Top Word Pairs in Tweet in G2:
[4] #cdctips,nodexl [4] nodexl,cdctobaccofree [4] cdctobaccofree,naatpoffice [4] naatpoffice,jeffdaynp [4] jeffdaynp,thegaschool [4] thegaschool,nafclinics [3] nafclinics,kytobaccofree [2] brett,smoked [2] smoked,cigarettes [2] cigarettes,lost Top Word Pairs in Tweet in G3:
[3] learn,more [2] smoking,related [2] tobacco,use [2] 800,quit [2] #cdctips,#tobacconuestrasvoces Top Word Pairs in Tweet in G5:
[4] part,mission [4] mission,improve [4] improve,lgbtq [4] lgbtq,health [4] health,well [4] well,being [4] being,glma [4] glma,become [4] become,proud [4] proud,partner Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6: